14 citations · 37 across the 6 of their papers we have counts for
6 papers
Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task
Radostin Cholakov, Todor Kolev
The adoption of pre-trained language models in task-oriented dialogue systems has resulted in significant enhancements of their text generation abilities. However, these architectu…
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling
Radostin Cholakov, Todor Kolev
There is an increasing interest in the application of deep learning architectures to tabular data. One of the state-of-the-art solutions is TabTransformer which incorporates an att…
Transformers predicting the future. Applying attention in next-frame and time series forecasting
Radostin Cholakov, Todor Kolev
Recurrent Neural Networks were, until recently, one of the best ways to capture the timely dependencies in sequences. However, with the introduction of the Transformer, it has been…
Trustless parallel local search for effective distributed algorithm discovery
Zvezdin Besarabov, Todor Kolev
Metaheuristic search strategies have proven their effectiveness against man-made solutions in various contexts. They are generally effective in local search area exploitation, and…
Distributed creation of Machine learning agents for Blockchain analysis
Zvezdin Besarabov, Todor Kolev
Creating efficient deep neural networks involves repetitive manual optimization of the topology and the hyperparameters. This human intervention significantly inhibits the process.…
Predicting digital asset market based on blockchain activity data
Zvezdin Besarabov, Todor Kolev
Blockchain technology shows significant results and huge potential for serving as an interweaving fabric that goes through every industry and market, allowing decentralized and sec…